Explanatory Coherence as a Model for Belief Revision
نویسندگان
چکیده
A belief system is an AI system which is concerned with the structural representation of beliefs, updating belief sets, reasoning with beliefs and the interaction between beliefs. A cognitive model of belief should be able to account for all of these things, and the subproblems which one encounters along the way. Several diierent approaches have been taken to solve various speciic problems for belief systems, including using logical formalisms and probabilistic models. This paper examines a relatively new approach, Explanatory Coherence (EC), as a model of belief revision. EC has many qualities which make it useful, not only as a practical implementation but as a cognitive model. An experiment using ECHO, a connectionist implementation of EC, explores the use of EC for a particular problem in belief revision, that of nonmonotonicity. Results are promising and invite further exploration into the subject and into EC as a general cognitive model of belief revision.
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